{"id":"https://openalex.org/W3045525383","doi":"https://doi.org/10.1109/icc40277.2020.9148758","title":"Deep Learning Driven Wireless Real-time Human Activity Recognition","display_name":"Deep Learning Driven Wireless Real-time Human Activity Recognition","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3045525383","doi":"https://doi.org/10.1109/icc40277.2020.9148758","mag":"3045525383"},"language":"en","primary_location":{"id":"doi:10.1109/icc40277.2020.9148758","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc40277.2020.9148758","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2020 - 2020 IEEE International Conference on Communications (ICC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035545617","display_name":"Hanqing Guo","orcid":"https://orcid.org/0000-0003-3779-4679"},"institutions":[{"id":"https://openalex.org/I198089087","display_name":"Ball State University","ror":"https://ror.org/00k6tx165","country_code":"US","type":"education","lineage":["https://openalex.org/I198089087"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hanqing Guo","raw_affiliation_strings":["Ball State University"],"affiliations":[{"raw_affiliation_string":"Ball State University","institution_ids":["https://openalex.org/I198089087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100331267","display_name":"Nan Zhang","orcid":"https://orcid.org/0000-0002-3476-2201"},"institutions":[{"id":"https://openalex.org/I198089087","display_name":"Ball State University","ror":"https://ror.org/00k6tx165","country_code":"US","type":"education","lineage":["https://openalex.org/I198089087"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nan Zhang","raw_affiliation_strings":["Ball State University"],"affiliations":[{"raw_affiliation_string":"Ball State University","institution_ids":["https://openalex.org/I198089087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100743605","display_name":"Shaoen Wu","orcid":"https://orcid.org/0000-0002-4768-6930"},"institutions":[{"id":"https://openalex.org/I198089087","display_name":"Ball State University","ror":"https://ror.org/00k6tx165","country_code":"US","type":"education","lineage":["https://openalex.org/I198089087"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shaoen Wu","raw_affiliation_strings":["Ball State University"],"affiliations":[{"raw_affiliation_string":"Ball State University","institution_ids":["https://openalex.org/I198089087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006400453","display_name":"Qing Yang","orcid":"https://orcid.org/0000-0003-2744-9556"},"institutions":[{"id":"https://openalex.org/I123534392","display_name":"University of North Texas","ror":"https://ror.org/00v97ad02","country_code":"US","type":"education","lineage":["https://openalex.org/I123534392"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qing Yang","raw_affiliation_strings":["North Texas University"],"affiliations":[{"raw_affiliation_string":"North Texas University","institution_ids":["https://openalex.org/I123534392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5035545617"],"corresponding_institution_ids":["https://openalex.org/I198089087"],"apc_list":null,"apc_paid":null,"fwci":0.8584,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.70212146,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7908318042755127},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7432102560997009},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6850748062133789},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.6676095724105835},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5541926622390747},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5450135469436646},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5151890516281128},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.5095531940460205},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4425247311592102},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3750068247318268},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3574932813644409},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35701239109039307},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32259583473205566},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.17909660935401917}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7908318042755127},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7432102560997009},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6850748062133789},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.6676095724105835},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5541926622390747},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5450135469436646},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5151890516281128},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.5095531940460205},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4425247311592102},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3750068247318268},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3574932813644409},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35701239109039307},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32259583473205566},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17909660935401917}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc40277.2020.9148758","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc40277.2020.9148758","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2020 - 2020 IEEE International Conference on Communications (ICC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5600000023841858,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1923404803","https://openalex.org/W1944615693","https://openalex.org/W1947481528","https://openalex.org/W2016549506","https://openalex.org/W2017634428","https://openalex.org/W2084553975","https://openalex.org/W2105101328","https://openalex.org/W2109519180","https://openalex.org/W2113746910","https://openalex.org/W2126574503","https://openalex.org/W2156303437","https://openalex.org/W2331577291","https://openalex.org/W2336403884","https://openalex.org/W2759690896","https://openalex.org/W2770265759","https://openalex.org/W2794189208","https://openalex.org/W2799062425","https://openalex.org/W2809108848","https://openalex.org/W2886300352","https://openalex.org/W2896025697","https://openalex.org/W2963855167","https://openalex.org/W2964216549","https://openalex.org/W2964927055","https://openalex.org/W4255262795","https://openalex.org/W6676045232","https://openalex.org/W6682864246","https://openalex.org/W6704286305","https://openalex.org/W6754928408"],"related_works":["https://openalex.org/W4225394202","https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W1847088711","https://openalex.org/W3036642985","https://openalex.org/W3032952384","https://openalex.org/W3017902212","https://openalex.org/W2964335273","https://openalex.org/W2982145560","https://openalex.org/W3008584592"],"abstract_inverted_index":{"Human":[0],"activity":[1,36],"recognition":[2,37],"based":[3,39,144],"on":[4,40,145],"wireless":[5,25,34,170],"sensing":[6],"is":[7,166],"advantageous":[8],"at":[9],"various":[10,91],"features":[11],"such":[12],"as":[13],"privacy":[14],"preservation,":[15],"but":[16],"also":[17],"very":[18],"challenging":[19],"due":[20],"to":[21,80,89,123,140,168],"the":[22,69,82,85,164],"instability":[23],"of":[24,62,68,93,109,113,185],"signals.":[26],"This":[27,96,149],"paper":[28],"proposes":[29],"a":[30,51,60,101,117,133,156],"deep":[31,74,119,134],"learning":[32,120],"driven":[33],"human":[35,94,142,186],"solution":[38,150,165],"Multiple-Input-Multiple-Output":[41],"(MIMO)":[42],"radar":[43,146],"sensing.":[44],"User":[45],"activities":[46,143],"are":[47,65,78],"first":[48],"sensed":[49],"by":[50],"low-power":[52],"Frequency-Modulated":[53],"Continuous":[54],"Wave":[55],"(FMCW)":[56],"MIMO":[57],"radar.":[58],"Then":[59],"sequence":[61],"3D":[63,87],"images":[64,88],"generated":[66],"out":[67],"reflected":[70],"signal":[71],"strength.":[72],"Next,":[73],"neural":[75,136],"networks":[76],"(DNNs)":[77],"designed":[79],"analyze":[81],"correlation":[83],"among":[84],"sequential":[86],"recognize":[90,141],"types":[92,112,184],"activities.":[95,187],"work":[97],"has":[98,151],"developed:":[99],"1)":[100],"large":[102],"dataset":[103],"containing":[104],"over":[105,177],"1,500":[106],"training":[107,126,130],"videos":[108],"six":[110,182],"different":[111,183],"indoor":[114],"activities,":[115],"2)":[116],"customized":[118],"video":[121],"data-loader":[122],"select":[124],"proper":[125],"data":[127],"in":[128,155,180],"each":[129],"epoch,":[131],"3)":[132],"recurrent":[135],"network":[137],"(RNN)":[138],"model":[139],"imaging":[147,171],"results.":[148],"been":[152],"extensively":[153],"evaluated":[154],"research":[157],"lab":[158],"room.":[159],"The":[160],"results":[161],"show":[162],"that":[163],"able":[167],"generate":[169],"frame-by-frame,":[172],"and":[173],"it":[174],"can":[175],"achieve":[176],"86.7%":[178],"accuracy":[179],"recognizing":[181]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":7}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2025-10-10T00:00:00"}